Advanced Planning and Control Algorithms for Smart and Sustainable MicroGrid Systems

适用于智能和可持续微电网系统的先进规划和控制算法

• 批准号: RGPIN-2016-05872
• 负责人: Abdelaziz, Morad
• 金额: $ 2.19万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=710009
• 关键词: Advanced; Planning; Control; Algorithms; Smart

Over the past two decades, the deregulation of electricity markets, accompanied by an increased environmental awareness, has paved the way for an increased penetration of customer owned small-scale renewable generation units connected directly to the electric distribution networks, known as distributed generation (DG) units. With such increasing number of DG units, electric distribution networks can be clustered into new sets of management layers, known as microgrids, that are capable of operating independently (i.e., in islanded mode) and also as a part of their up-stream grid (i.e., in grid-connected mode). Microgrids can bring pivotal benefits to electric distribution utilities and their customers. Such benefits include improved electric service reliability, increased efficiency, easier integration of renewable resources, higher power quality, and transmission system congestion relief. Despite a great interest shown from both industry and academia during the last decade, the realization of the technologies needed for a widespread implementation of the microgrid concept still faces major challenges. This research program focus on the issue of enabling the widespread implementation of the microgrid concept in existing electric distribution networks. To that end, we will: 1) introduce new distribution system re-organization and expansion planning algorithms that empower the microgrid as a new management layer; 2) develop a new supervisory control framework that enable microgrid controllers to detect and tolerate compromised data exchanges while preserving customers' privacy and ensuring the distribution system security and optimality of operation; 3) develop new algorithms to minimize the dependence on storage and dispatchable generators in microgrids by enabling the operation of fully-renewable microgrid systems; and 4) develop an incentivizing and competitive compensation framework for DGs participation in microgrids. The results of this research will remove technical, economic and regulatory barriers to the interconnection of sustainable DG resources in general and to the implementation of the microgrid concept in particular. The realization of the proposed work will help power utilities improve the overall power system performance in terms of reliability, power quality and efficiency while minimizing the environmental adverse impacts of central power generation plants. The knowledge-base and tools that this research will generate will enable power system software and hardware developers to build smart controllers and algorithms that will facilitate a safe transition of the current distribution systems into microgrid-based smart distribution systems. This research program will also serve a rising employment and economic need by training highly qualified personal in the field of sustainable energy and smart grids through its development.

在过去的二十年中，电力市场的放松管制，伴随着环境意识的提高，为直接连接到配电网的客户拥有的小型可再生发电机组（称为分布式发电（DG）机组）的渗透率增加铺平了道路。随着DG单元数量的增加，配电网络可以被集群为新的管理层集合，称为微电网，其能够独立地操作（即，在孤岛模式中）并且也作为其上游栅格的一部分（即，在并网模式下）。微电网可以为配电公用事业及其客户带来关键利益。这些好处包括提高电力服务的可靠性，提高效率，更容易整合可再生资源，更高的电力质量和传输系统拥塞缓解。尽管在过去的十年中，工业界和学术界都表现出了极大的兴趣，但实现广泛实施微电网概念所需的技术仍然面临着重大挑战。该研究计划的重点是在现有的配电网络中广泛实施微电网概念的问题。为此，我们将：1）引入新的配电系统重组和扩展规划算法，使微电网成为新的管理层; 2）开发新的监督控制框架，使微电网控制器能够检测和容忍受损的数据交换，同时保护客户的隐私并确保配电系统的安全性和最佳运行; 3）开发新的算法，通过实现完全可再生微电网系统的运行，最大限度地减少对微电网中存储和可调度发电机的依赖; 4）为DG参与微电网制定激励和竞争性补偿框架。这项研究的结果将消除可持续DG资源互连的技术，经济和监管障碍，特别是微电网概念的实施。建议工作的实现将有助于电力公司提高电力系统在可靠性、电能质量和效率方面的整体性能，同时最大限度地减少中央发电厂对环境的不利影响。这项研究将产生的知识基础和工具将使电力系统软件和硬件开发人员能够构建智能控制器和算法，以促进当前配电系统安全过渡到基于微电网的智能配电系统。该研究计划还将通过其发展，在可持续能源和智能电网领域培养高素质的人才，以满足不断增长的就业和经济需求。